TY - JOUR
T1 - Performance of student software development teams
T2 - the influence of personality and identifying as team members
AU - Monaghan, Conal
AU - Bizumic, Boris
AU - Reynolds, Katherine
AU - Smithson, Michael
AU - Johns-Boast, Lynette
AU - van Rooy, Dirk
N1 - Publisher Copyright:
© 2014, © 2014 SEFI.
PY - 2015/1/2
Y1 - 2015/1/2
N2 - One prominent approach in the exploration of the variations in project team performance has been to study two components of the aggregate personalities of the team members: conscientiousness and agreeableness. A second line of research, known as self-categorisation theory, argues that identifying as team members and the team's performance norms should substantially influence the team's performance. This paper explores the influence of both these perspectives in university software engineering project teams. Eighty students worked to complete a piece of software in small project teams during 2007 or 2008. To reduce limitations in statistical analysis, Monte Carlo simulation techniques were employed to extrapolate from the results of the original sample to a larger simulated sample (2043 cases, within 319 teams). The results emphasise the importance of taking into account personality (particularly conscientiousness), and both team identification and the team's norm of performance, in order to cultivate higher levels of performance in student software engineering project teams.
AB - One prominent approach in the exploration of the variations in project team performance has been to study two components of the aggregate personalities of the team members: conscientiousness and agreeableness. A second line of research, known as self-categorisation theory, argues that identifying as team members and the team's performance norms should substantially influence the team's performance. This paper explores the influence of both these perspectives in university software engineering project teams. Eighty students worked to complete a piece of software in small project teams during 2007 or 2008. To reduce limitations in statistical analysis, Monte Carlo simulation techniques were employed to extrapolate from the results of the original sample to a larger simulated sample (2043 cases, within 319 teams). The results emphasise the importance of taking into account personality (particularly conscientiousness), and both team identification and the team's norm of performance, in order to cultivate higher levels of performance in student software engineering project teams.
KW - performance
KW - personality
KW - software development
KW - software engineering
KW - team identification
KW - team norms
KW - teams
UR - http://www.scopus.com/inward/record.url?scp=84922228635&partnerID=8YFLogxK
U2 - 10.1080/03043797.2014.914156
DO - 10.1080/03043797.2014.914156
M3 - Article
SN - 0304-3797
VL - 40
SP - 52
EP - 67
JO - European Journal of Engineering Education
JF - European Journal of Engineering Education
IS - 1
ER -